Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

Requirements

Key Responsibilities:

Data Integration:

Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using Kafka and CDC tools.

Support Data Modeling:

Assist in developing and optimizing the data model for Snowflake, ensuring it supports our analytics and reporting requirements.

InfyStrat is looking for a proficient Developer with expertise in Denodo and Snowflake to join our data engineering team. In this role, you will be responsible for designing, developing, and implementing data integration solutions that leverage Denodo's data virtualization capabilities alongside Snowflake's cloud data warehousing. You will collaborate with data architects and stakeholders to understand business requirements and deliver effective data solutions that enhance data accessibility and usability. The ideal candidate will have a strong background in data integration, a deep understanding of both Denodo and Snowflake, and the ability to translate complex data needs into actionable solutions. Join us at InfyStrat, where your expertise will help drive our data strategy forward.

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem.

Responsibilities

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have strong experience with AWS services, Databricks, and Snowflake.

Key Responsibilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Lead Business Analyst in the United States.

This is an exciting opportunity for an experienced business analyst to play a key role in delivering strategic insights that drive cyber resilience for some of the world’s leading organizations. In this role, you'll leverage a robust platform and data analytics to help customers assess and improve their cyber posture, focusing on human-centric threats and metrics. You'll work closely with cross-functional teams and key stakeholders to provide data-driven recommendations, clear visualizations, and tailored reports that guide both internal strategies and customer outcomes. This role combines technical acumen with client engagement to help organizations meet their cybersecurity goals.

Accountabilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Key Responsibilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Analytics Engineer in Canada.

This role is ideal for a data-driven professional passionate about turning raw data into meaningful insights through scalable, maintainable, and high-performing data models. As a Senior Analytics Engineer, you’ll play a pivotal role in enabling cross-functional teams to make better decisions by building trusted datasets and modernizing data infrastructure. You'll collaborate closely with departments across the business to architect solutions that empower them with real-time, actionable insights.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Engineer II in United States.

As a Data Engineer II, you will play a critical role in building and maintaining the data platform that drives business insights and operations. This role requires collaboration across teams to deliver secure, reliable, and scalable data pipelines. You will work closely with engineers, data scientists, and product managers to build out systems that support data-driven decision-making and optimize data flows across the organization. This position offers an exciting opportunity to contribute to the creation of an enterprise-grade data platform from the ground up, in a fast-paced, mission-driven environment.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Head of AI/ML in the United States.

This strategic leadership role is ideal for an experienced AI/ML expert ready to lead high-impact innovation at scale. As Head of AI/ML, you will oversee a multidisciplinary team and shape the company’s AI/ML and Generative AI vision. Reporting directly to the CTO, you will drive the integration of cutting-edge technologies like Large Language Models (LLMs) to power new features, optimize internal systems, and elevate user experiences. You’ll also play a key role in building a strong data infrastructure, creating a culture of collaboration, and helping the organization stay at the forefront of technological innovation.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Platform Engineer in the United States.

As a Data Platform Engineer, you’ll play a key role in designing and improving scalable data infrastructure and pipelines that empower analytics and product decisions. You’ll collaborate with cross-functional teams to build efficient systems that ensure data quality, reliability, and security. Your work will focus on enhancing performance, observability, and scalability across the organization’s modern data stack. This role offers the opportunity to make a real impact on how data is used throughout the business, all while working in a remote-first environment with a strong engineering culture.

Accountabilities: